Pregled bibliografske jedinice broj: 39108
Combining qualitative and quantitative trait data in classification of gene bank accessions
Combining qualitative and quantitative trait data in classification of gene bank accessions // Proceedings of the 22nd international conference on information technology interfaces / Kalpić, Damir ; Hljuz- Dobrić, Vesna (ur.).
Pula: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2000. str. 311-315 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 39108 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Combining qualitative and quantitative trait data in classification of gene bank accessions
Autori
Gunjača, Jerko ; Šatović, Zlatko ; Kolak, Ivan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 22nd international conference on information technology interfaces
/ Kalpić, Damir ; Hljuz- Dobrić, Vesna - Pula : Sveučilišni računski centar Sveučilišta u Zagrebu (Srce), 2000, 311-315
Skup
22nd International Conference on Information Technology Interfaces
Mjesto i datum
Pula, Hrvatska, 13.06.2000. - 16.06.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
distance measure; cluster analysis; genetic diversity
Sažetak
Proper classification and establishment of relationships between and within genebank accessions are very important tools for better utilization of germplasm in plant breeding. Plant morphological characteristics are often used to generate a dissimilarity matrix which serves as input to the cluster analysis. Accessions are generally described by a mixture of both qualitative and quantitative information which complicates the analysis. A wide range of distance measures is now available but only a few of them combine qualitative and quantitative trait data. The objective of this research was to evaluate proposed distance measures on the bases of criteria proposed originally for evaluation of different clustering algorithms.
Izvorni jezik
Engleski